Atlas-based segmentation of organs at risk in radiotherapy in head MRIs by means of a novel active contour framework

Authors:
Vitoantonio Bevilacqua;Alessandro Piazzolla;Paolo Stofella
Affiliations:
Department of Electrical and Electronics, Polytechnic of Bari, Bari, Italy and electronic Business in Security, s.r.l. Spin-Off of Polytechnic of Bari, Valenzano, BA, Italy;Department of Electrical and Electronics, Polytechnic of Bari, Bari, Italy;Exprivia s.p.a., Molfetta, BA
Venue:
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Year:
2010

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Abstract

Automatic segmentation of organs at risk in head Magnetic Resonance Images (MRI) is a challenging task in medical image analysis. This operation is fundamental for radiotherapy treatment planning: accurate delineation of critical structures allow calibrating the radiation beam in order to hit tumour cells and preserve sane tissues, consuming a time of much lower than a radiation oncologist. In this paper we analyze the properties of head MRI and of their OARs and propose an algorithm that exploits the knowledge implied in an atlas, represented by a labelled medical image, and uses a modified version of Gradient Vector Flow Snake endowed with a parameters automatic tuning mechanism system based on Fourier Descriptors. The comparison of this method with the other traditional algorithms based on active contours showed a remarkable increase of performance.